Prerequisite: None
Mark Peco
CBIP
Analytics Consultant and Instructor
Mark Peco, CBIP, is an experienced consultant, educator, and team builder. With graduate and undergraduate degrees in engineering from the University of Waterloo, he helps clients identify and build the necessary analytics capabilities that will drive business impact.
As a leading practitioner of business intelligence and analytics, Mark is a faculty member of TDWI and teaches companies on a global basis how to implement and govern “intelligent” business solutions. He is CBIP certified at the mastery level and maintains his professional focus at the intersection of business, operations, and technology. Mark has several years of energy industry experience based on a variety of roles in the pipeline, distribution, and production sectors.
This is part of an optional week-long series.
Take all the courses to earn a certificate, or attend this individual course.
Course Outline
Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, and make decisions. Data assets power BI dashboards, self-service analytics, data science projects, AI and machine learning, and more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual and unstructured. Data governance brings the same level of discipline and structure to data management as is typical when managing financial and human resources.
Building a data governance program is a complex process that focuses people, processes, policies, rules, and regulations on achieving specific goals for a managed data resource. Successful and effective data governance depends on achieving the right balance between control-oriented and collaborative governance to address the often conflicting needs of enterprise data management, self-service, agile development, big data, and cloud deployments.
You Will Learn
- Definitions and dimensions of data governance
- Practices and techniques for building and operating a data governance program
- The roles, skills, and disciplines essential to data governance
- The importance of data stewardship to data governance success
- Activities, issues, and options when building a data governance program
- How to create the right balance of authoritarian and collaborative governance for the needs of self-service, agile development, big data, cloud services, and other modern practices
Geared To
- Data governance professionals, including data stewards and data curators
- Data management professionals, including CDOs, BI managers, and data quality managers
- Data analytics professionals, including CAOs, data scientists, and data analysts
- Architects, data engineers, BI and analytics developers, data modelers
- Business stakeholders, compliance officers, risk management professionals, internal auditors